Results 171 to 180 of about 33,606 (255)

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome Using 12-Lead ECG. [PDF]

IEEE Trans Biomed Eng
Ji RQ, Riek NT, Bouzid Z, Kraevsky-Phillips K, Gokhale T, Zegre-Hemsey JK, Clermont G, Saba S, Martin-Gill C, Callaway CW, Akcakaya M, Sejdic E, Al-Zaiti SS.   +12 more
europepmc   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Enhancing multi-component alloy composition prediction based on generative adversarial networks and proximal policy optimization. [PDF]

Sci Rep
Zhang SL, Bai SB, Shang WJ, Liu Q, Yu P.
europepmc   +1 more source

Methods for improving robustness against adversarial machine learning attacks

Machine learning systems can improve the efficiency of real-world tasks, including in the cyber security domain; however, these models are susceptible to adversarial attacks; indeed, an arms race exists between adversaries and defenders.
McCarthy, Andrew
core  

Sustainability: The Forgotten Arena of eSports Research—A Systematic Literature Review From an ESG Perspective

Sustainable Development, EarlyView.
ABSTRACT Despite the growth of eSports, the sector faces critical challenges related to its sustainability. This research analyzes these issues from an environmental, social, and governance (ESG) perspective. This paper consists of a systematic literature review on eSports and its implications for sustainability.
M. Ertz, C. Ouerghemmi, Y. Laghrib, M. Kordi, J. Bousquet, A. Kazemipour   +5 more
wiley   +1 more source

Toward Adversarial Robustness Network Intrusion Detection Based on Multi-Model Ensemble Approach. [PDF]

Sensors (Basel)
Le TT, Cho J, Shin D, Kim H.
europepmc   +1 more source

A Hero's Journey to Systemic Change: Developing Expertise in Agricultural Development

Sustainable Development, EarlyView.
ABSTRACT Experts in rural development and agrarian change wield considerable influence over programme design and delivery, directing resources and shaping trajectories towards the Sustainable Development Goals (SDGs). Yet the pathways through which such expertise develops remain under‐examined. This study examines the journey to expertise among experts
Kirt Hainzer, Caitlin Finlayson, Nicholas Harrigan, Andrew McGregor, Katharine McKinnon, Van Touch, Ariane Utomo, Brian R. Cook   +7 more
wiley   +1 more source

Evaluation of Explainable Artificial Intelligence in IoT Intrusion Detection Systems Under DeepFool Adversarial Conditions. [PDF]

Sensors (Basel)
Munilla J, Khammas RM.
europepmc   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source